Herb Weisberg, and the teams he can assemble, bring a uniquely valuable skillset to the legal and regulatory arenas. Herb has literally ЁАwritten the bookЁБ about the application of statistics to the assessment of causation (see Bias and Causation). In particular, can an observed relationship (correlation) between factors be interpreted as causal, or is it the result of chance or of statistical bias? His deep understanding of this often confusing topic can help in clarifying the implicit assumptions that underlie a statistical analysis or its interpretation.

In the context of litigation support , this perspective and knowledge set CRI apart from most other firms. We appreciate the importance of obtaining a full picture of the broader process or system generating the data. We tend to ask penetrating questions about the ЁАcausalЁБ background and how the disputing parties may perceive the situation. We are especially adept at countering biased or superficial analyses, cutting through the technical fog to explain what the numbers mean in the most practical terms. Beneath every statistical analysis, no matter how complicated or sophisticated it may appear, lie certain basic assumptions. Often we are able to expose these hidden assumptions.